{"id":"W2912057220","doi":"10.1016/j.annepidem.2019.01.009","title":"Population risk and burden of health behavioral–related all-cause, premature, and amenable deaths in Ontario, Canada: Canadian Community Health Survey–linked mortality files","year":2019,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Institute for Clinical Evaluative Sciences; London Health Sciences Centre; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Environmental health; Population health; Demography; Population; Community health; Gerontology; Public health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008219735,0.0004557328,0.000591396,0.002353371,0.001939606,0.0008942441,0.001469759,0.0003942091,0.00319691],"category_scores_gemma":[0.003242608,0.0004703794,0.0009334952,0.006117189,0.0003343222,0.0004264094,0.0007915274,0.0006618781,0.0004302438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03367638,"about_ca_system_score_gemma":0.05736936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978774,"about_ca_topic_score_gemma":0.9983303,"domain_scores_codex":[0.9987967,0.00006629287,0.0001053661,0.000158004,0.0006323301,0.0002412354],"domain_scores_gemma":[0.9961592,0.0001085231,0.0006008976,0.0001166013,0.0025248,0.0004899862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001000249,0.00002665661,0.9563906,0.0002568941,0.0002394836,0.00008286551,0.0003974826,0.0004923533,0.0001443021,0.0002642966,0.03449347,0.007111622],"study_design_scores_gemma":[0.00002038901,0.000008071668,0.9939888,0.00009549026,0.00005926926,0.00005853536,0.0002929913,0.0006399335,0.00004342145,0.00004285141,0.004732515,0.00001773891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4833421,0.004298323,0.0009804325,0.001523259,0.00009691316,0.0002809829,0.5015238,0.0002202978,0.007733886],"genre_scores_gemma":[0.8347865,0.003590882,0.001778614,0.0004874452,0.00004466806,0.0002724107,0.154127,0.00004189159,0.004870666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03367638,"threshold_uncertainty_score":0.2443404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2291443870831593,"score_gpt":0.4280775482920255,"score_spread":0.1989331612088663,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}